TorchSpatiotemporal / tsl
tsl: a PyTorch library for processing spatiotemporal data.
☆310Updated 3 weeks ago
Alternatives and similar repositories for tsl:
Users that are interested in tsl are comparing it to the libraries listed below
- Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)☆163Updated 2 years ago
- [TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)☆725Updated 7 months ago
- Official implementation of the paper "FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective"☆203Updated last year
- ☆116Updated last year
- Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting☆533Updated 9 months ago
- [CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".☆160Updated last year
- Spatio-Temporal Prediction Paper List☆169Updated 2 months ago
- Official repository for the paper "Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting" (ICML 2024)☆12Updated 7 months ago
- Awesome Time-Series and Spatio-Temporal Related☆94Updated last year
- PyTorch implementation of AirFormer, AAAI-23☆127Updated 2 years ago
- LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting (NeurIPS 2023)☆190Updated last year
- [IJCAI-24] Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting☆167Updated 2 months ago
- Official repository for the paper "Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations" (NeurIPS 202…☆54Updated last year
- A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series (SSL4TS).☆313Updated 10 months ago
- a Python toolbox loads 172 public time series datasets for machine/deep learning with a single line of code. Datasets from multiple domai…☆185Updated this week
- Awesome Deep Learning for Time-Series Imputation, including an unmissable paper list about applying neural networks to impute incomplete …☆269Updated last month
- About code release of "Interpretable Weather Forecasting for Worldwide Stations with a Unified Deep Model", Nature Machine Intelligence, …☆173Updated 2 months ago
- ☆80Updated last year
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆112Updated last year
- Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)☆46Updated last year
- [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".☆80Updated 2 years ago
- Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch☆479Updated 7 months ago
- Graph Neural Networks for Irregular Time Series☆185Updated 2 years ago
- The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (S…☆382Updated 6 months ago
- ☆838Updated last year
- Adaptive Graph Convolutional Recurrent Network☆379Updated last year
- a Python toolbox for benchmarking machine learning on POTS (Partially-Observed Time Series), supporting processing pipelines of 172 publi…☆23Updated 2 weeks ago
- Official repository for the paper "Taming Local Effects in Graph-based Spatiotemporal Forecasting" (NeurIPS 2023)☆20Updated last week
- Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)☆877Updated last week
- This is the repository for the collection of Deep Learning for Traffic Prediction Problems.☆227Updated last year